data-report-proof 是做什么的？
生成可复现的离线CSV报告，包含缺失值与重复项检查、精确十进制总计、输入哈希值和每项声明来源。适用于用户需要可审计的电子表格摘要或数据质量报告，而非未经核实的数值叙述的场景。
生成可复现的离线CSV报告，包含缺失值与重复项检查、精确十进制总计、输入哈希值和每项声明来源。适用于用户需要可审计的电子表格摘要或数据质量报告，而非未经核实的数值叙述的场景。
该技能用于生成可审计的离线CSV报告，专注于数据质量与可追溯性。它内置了缺失值与重复数据的自动检查，确保报告准确性；输出精确的十进制总计（避免浮点误差），并为每个数据项提供哈希校验和来源追溯（per-claim provenance）。这适用于财务对账、审计合规或任何需要严格数据验证的场景。该技能不依赖在线API，完全离线运行，支持Claude Code等AI Agent平台，通过读取输入数据并生成标准CSV文件来工作，方便用户直接下载存档或进一步分析。其核心价值在于将不可靠的叙述性总结转化为结构化的、可重复验证的数据工件。
npx skills add https://github.com/MhmmdFaizal04/data-report-proof-skills/tree/main/skills/data-report-proof生成可复现的离线CSV报告，包含缺失值与重复项检查、精确十进制总计、输入哈希值和每项声明来源。适用于用户需要可审计的电子表格摘要或数据质量报告，而非未经核实的数值叙述的场景。
Extract frames or short clips from videos using ffmpeg.
Summarize or transcribe URLs, YouTube/videos, podcasts, articles, transcripts, PDFs, and local files.
Use when testing, fixing, or extending the OpenClaw Control UI GUI with Vitest + Playwright end-to-end checks, mocked Gateway WebSocket flows, mocked dashboard runs, screenshots/videos, or agent-verifiable browser proof.
Obra superpowers agent skills.
See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio...
End-to-end marketing campaign planning and execution. Covers audience research, positioning, campaign angle definition, landing page copy, email sequences, social posts, ad copy, short-form video scripts, and content calendars. Use as the orchestration layer for multi-channel product launches. Use when planning or executing a multi-channel product launch, or producing landing page, email, social, or ad copy.